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PhD Fellowship in Causal Inference and Biostatistics at the SMARTbiomed Pioneer Centre University of Copenhagen in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time PhD fellowship for 3 years. Salary, pension, and employment terms follow the Danish agreement for academics in the state; salary depends on years of work experience (seniority).
Deadline
Sep 20, 2026
Country
Denmark
University
University of Copenhagen

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About this position
PhD fellowship in causal inference at the SMARTbiomed Pioneer Centre, University of Copenhagen, Denmark.
The project is based in the Department of Public Health and the Section of Biostatistics, with joint supervision across methodological and clinical research groups. The research will develop new methods for causal inference in complex longitudinal survival data, with applications to nationwide Danish health registries and combination drug therapies in people with type 2 diabetes.
Research themes include mathematical statistics, biostatistics, survival analysis, longitudinal data, targeted learning, random forest, interpretable survival models, and doubly robust estimation methods. The project sits within the broader mission of SMARTbiomed, which focuses on statistical and computational methods for advanced biomedical research.
Eligibility highlights: the successful applicant should have a relevant academic degree for the 5+3 PhD scheme, a strong background in theoretical and applied statistics, and the ability to program in R. Experience with clinical trials and collaboration with medical researchers is valued. The candidate must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen.
Funding: this is a 3-year full-time PhD fellowship with salary and pension according to Danish academic employment terms. Deadline: 20 September 2026. The anticipated start date is 1 January 2027 or as soon as possible thereafter.
How to apply: submit the application via the university vacancy portal and include a motivation letter, CV, transcripts, degree certificate(s), documentation of relevant methods experience, and contact details for two referees.
Funding details
Full-time PhD fellowship for 3 years. Salary, pension, and employment terms follow the Danish agreement for academics in the state; salary depends on years of work experience (seniority).
What's required
Applicants should have a relevant academic degree for the 5+3 PhD scheme and must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen. The successful candidate is expected to be a statistician with a solid background in mathematical statistics and biostatistics, documented skills in theoretical and applied statistics, and the ability to program in R. Experience with clinical trials and collaboration with medical researchers is valued, and knowledge of group-sequential trials is appreciated but not required. Applicants should also be willing to communicate research through teaching, conference talks, and scientific papers.
How to apply
Submit the application through the university vacancy link by 20 September 2026. Prepare a motivation letter, CV, transcripts, degree certificate(s), documentation of statistics/biostatistics/clinical trials experience, and contact details for two referees. Applications must be in English.
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